Data Engineering Manager

Responsibilities

• Partner across business lines to build and enhance a reliable and scalable data platform
• Drive execution of the data engineering roadmap in alignment with business priorities
• Lead and mentor a team of data engineers, supporting their growth and ensuring high-quality delivery
• Design, build, and maintain scalable batch and streaming data pipelines
• Develop and operate high-throughput, low-latency data processing systems
• Work within the Databricks and Spark ecosystem to support large-scale data workloads
• Build and maintain cloud-native data solutions on AWS
• Leverage dbt for transformation, data modeling, testing, and documentation
• Use Airflow or similar orchestration tools to manage and schedule data workflows
• Establish and enforce best practices around code quality, testing, CI/CD, monitoring, and reliability
• Collaborate with product, analytics, and infrastructure teams to deliver impactful data solutions

Requirements

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
• 8+ years of experience in data engineering or distributed systems
• 4+ years of experience managing or mentoring engineers
• Strong hands-on experience with AWS, Databricks, and Spark
• Experience building and operating both batch and streaming data pipelines
• Hands-on experience with dbt and Airflow
• Solid understanding of data modeling, data quality, and production data systems

About the Company

Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy.